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What is 8.independent Component Analysis about?

Independent Component Analysis (ICA) is a technique used to separate a multivariate signal into independent non-Gaussian components by finding a linear transformation that maximizes statistical independence. It operates under the assumptions that source signals are statistically independent and non-Gaussian, and it employs methods like kurtosis and negentropy to achieve its goals. While ICA is advantageous for its unsupervised learning capabilities and feature extraction, it has limitations including relian

Author

svijayalakshmicse

Language

EN